Introduction to Measure Theory, Section 1.3.5: Littlewood's three principles #
A companion to (the introduction to) Section 1.3.5 of the book "An introduction to Measure Theory".
Theorem 1.3.20(i) Approximation of $L^1$ functions by simple functions (real case)
Theorem 1.3.20(i) Approximation of $L^1$ functions by simple functions (complex case)
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Theorem 1.3.20(iii) Approximation of $L^1$ functions by continuous compactly supported functions
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- UniformlyConvergesTo f g = ∀ ε > 0, ∃ (N : ℕ), ∀ n ≥ N, ∀ (x : X), dist (f n x) (g x) ≤ ε
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- UniformlyConvergesToOn f g S = UniformlyConvergesTo (fun (n : ℕ) (x : ↑S) => f n ↑x) fun (x : ↑S) => g ↑x
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Definition 1.3.21 (Locally uniform convergence)
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- LocallyUniformlyConvergesTo f g = ∀ (K : Set X), Bornology.IsBounded K → UniformlyConvergesToOn f g K
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Remark 1.3.22
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- LocallyUniformlyConvergesToOn f g S = LocallyUniformlyConvergesTo (fun (n : ℕ) (x : ↑S) => f n ↑x) fun (x : ↑S) => g ↑x
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Theorem 1.3.26 (Egorov's theorem)
But uniform convergence can be recovered on a fixed set of finite measure
Theorem 1.3.28 (Lusin's theorem)
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- LocallyComplexAbsolutelyIntegrable f = ∀ (S : Set (EuclideanSpace' d)), MeasurableSet S ∧ Bornology.IsBounded S → ComplexAbsolutelyIntegrableOn f S
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Exercise 1.3.23 (Lusin's theorem only requires local absolute integrability )
Exercise 1.3.24
Remark 1.3.29
Exercise 1.3.25 (a) (Littlewood-like principle)
Exercise 1.3.25 (b) (Littlewood-like principle)